Type

Journal Article

Authors

Mark A Collinson
Chodziwadziwa Whiteson Kabudula
Samuel J Clark
Tyler H McCormick
Isobel Claire Gormley
Damien McParland

Subjects

Economics

Topics
metropolis within gibbs mixed data factor analysis markov chain monte carlo rural population south africa survey data clustering item response theory model analysis socio economic status

CLUSTERING SOUTH AFRICAN HOUSEHOLDS BASED ON THEIR ASSET STATUS USING LATENT VARIABLE MODELS. (2014)

Abstract The Agincourt Health and Demographic Surveillance System has since 2001 conducted a biannual household asset survey in order to quantify household socio-economic status (SES) in a rural population living in northeast South Africa. The survey contains binary, ordinal and nominal items. In the absence of income or expenditure data, the SES landscape in the study population is explored and described by clustering the households into homogeneous groups based on their asset status. A model-based approach to clustering the Agincourt households, based on latent variable models, is proposed. In the case of modeling binary or ordinal items, item response theory models are employed. For nominal survey items, a factor analysis model, similar in nature to a multinomial probit model, is used. Both model types have an underlying latent variable structure-this similarity is exploited and the models are combined to produce a hybrid model capable of handling mixed data types. Further, a mixture of the hybrid models is considered to provide clustering capabilities within the context of mixed binary, ordinal and nominal response data. The proposed model is termed a mixture of factor analyzers for mixed data (MFA-MD). The MFA-MD model is applied to the survey data to cluster the Agincourt households into homogeneous groups. The model is estimated within the Bayesian paradigm, using a Markov chain Monte Carlo algorithm. Intuitive groupings result, providing insight to the different socio-economic strata within the Agincourt region.
Collections Ireland -> University College Dublin -> College of Science
Ireland -> University College Dublin -> PubMed
Ireland -> University College Dublin -> College of Science
Ireland -> University College Dublin -> Mathematics and Statistics Research Collection
Ireland -> University College Dublin -> School of Mathematics and Statistics
Ireland -> University College Dublin -> Mathematics and Statistics Research Collection
Ireland -> University College Dublin -> School of Mathematics and Statistics

Full list of authors on original publication

Mark A Collinson, Chodziwadziwa Whiteson Kabudula, Samuel J Clark, Tyler H McCormick, Isobel Claire Gormley, Damien McParland

Experts in our system

1
Isobel Claire Gormley
University College Dublin
Total Publications: 25
 
2
Damien McParland
University College Dublin
Total Publications: 9